Published on in Vol 10 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/47913, first published .
Usability and Overall Perception of a Health Bot for Nutrition-Related Questions for Patients Receiving Bariatric Care: Mixed Methods Study

Usability and Overall Perception of a Health Bot for Nutrition-Related Questions for Patients Receiving Bariatric Care: Mixed Methods Study

Usability and Overall Perception of a Health Bot for Nutrition-Related Questions for Patients Receiving Bariatric Care: Mixed Methods Study

Journals

  1. Atwal K. Artificial intelligence in clinical nutrition and dietetics: A brief overview of current evidence. Nutrition in Clinical Practice 2024;39(4):736 View
  2. Sosa-Holwerda A, Park O, Albracht-Schulte K, Niraula S, Thompson L, Oldewage-Theron W. The Role of Artificial Intelligence in Nutrition Research: A Scoping Review. Nutrients 2024;16(13):2066 View
  3. Humayun A, Madawana A, Hassan A, Mahmud A, Kamaruddin N, Noor S, Noor S, Awang Nawi M, Mathew M. Artificial intelligence as a predictive tool for mental health status: Insights from a systematic review and meta-analysis. PLOS One 2025;20(9):e0332207 View
  4. Bayram H, Ozturkcan A. Applications of generative and predictive AI in nutrition and dietetics: a narrative review. Informatics for Health and Social Care 2025;50(3-4):133 View
  5. Ngo K, Mekhail S, Chan V, Li X, Yin A, Choi H, Allman-Farinelli M, Chen J. The Use of Artificial Intelligence (AI) to Support Dietetic Practice Across Primary Care: A Scoping Review of the Literature. Nutrients 2025;17(22):3515 View

Books/Policy Documents

  1. Hendi N, Abouelmagd M, Sharkawy A, Jasim E, Amin A. Feeding the Mind: The Connection Between Diet, Drugs, and Mental Health Volume 2. View